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Jung, Mooyoung
Ulsan National Institute of Science and Technology
Research Interests
  • Manufacturing Systems Engineering
  • Energy Management System - Applications of Fractal Concept

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A hybrid-type active vibration isolation system using neural networks

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Title
A hybrid-type active vibration isolation system using neural networks
Author
Ahn, KGPahk, HJJung, MooyoungCho, DW
Issue Date
1996-05
Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Citation
JOURNAL OF SOUND AND VIBRATION, v.192, no.4, pp.793 - 805
Abstract
Vibration isolation of mechanical systems is achieved through either passive or active vibration control systems. Although a passive vibration isolation system offers simple and reliable means to protect mechanical systems from a vibration environment, it has inherent performance limitations, that is, its controllable frequency range is limited and the shape of its transmissibility does not change. Recently, in some applications, such as active suspensions or precise vibration systems, active vibration isolation systems have been employed to overcome the limitations of the passive systems. In this paper, a hybrid-type active vibration isolation system that uses electromagnetic and pneumatic force is developed, and a new control algorithm adopting neural networks is proposed. The characteristics of the hybrid system proposed in the paper were investigated via computer simulation and experiments. It was shown that the transmissibility of the vibration isolation system could be kept below 0.63 over the entire frequency range, including the resonance frequency.
URI
https://scholarworks.unist.ac.kr/handle/201301/5925
URL
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0030141576
DOI
10.1006/jsvi.1996.0218
ISSN
0022-460X
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